seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2614278018 | # topics = ['动态规划']
from typing import List
class Solution:
def maxUncrossedLines(self, nums1: List[int], nums2: List[int]) -> int:
"""
Dynamic Programming
time O(mn), space O(mn), m 和 n 分别为 nums1 和 nums2 的长度
"""
m, n = len(nums1), len(nums2)
dp = [[0] * (n + 1) fo... | show-me-code/signInHelper-using-face- | algorithms/[1035]不相交的线/solution.py | solution.py | py | 655 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
}
] |
10502969372 | from rest_framework.test import APITestCase
from ...services.notification_service import NotificationService
from ...api_services.notification import NotificationAPIService
from django.urls import reverse
class TestNotificationAPIServices(APITestCase):
def setUp(self):
self.payload = {
"title"... | anojkr/onboarding-project | push_notification/apps/notification/tests/unit/test_notification_api_services.py | test_notification_api_services.py | py | 1,441 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "services.notification_service.NotificationService",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 14,
"usage_type": "... |
7295749579 | import discord, datetime, time
from discord.ext import commands, tasks
from itertools import cycle
start_time = time.time()
class Events(commands.Cog):
def __init__(self, client):
self.client = client
self.status = cycle(['Bind', 'Haven', 'Ascent','Split','Fracture'])
@tasks.loop(seconds... | awesomedustyn/CAP-N- | cogs/Events.py | Events.py | py | 908 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Cog",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "itertools.c... |
8733632634 | from hmmlearn import hmm
import numpy as np
class CustomHMM:
def __init__(self):
def build_hmm():
model = hmm.GMMHMM(n_components=3, n_mix=3, covariance_type="diag", init_params="t")
model.transmat_ = np.array([[0.5, 0.5, 0.0],
[0.0, 0.5, 0.5],
... | mattschaff/upennvoicerecog | CustomHMM.py | CustomHMM.py | py | 986 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "hmmlearn.hmm.GMMHMM",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "hmmlearn.hmm",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_n... |
41655800194 | import dash
import dash_html_components as html
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_bootstrap_components as dbc
import base64
import pandas as pd
import io
import dash_table
import os
import ast
from seaborn.matrix import heatmap
from .layouts.layout import... | DaPraxis/Interactive-Machine-Learning-Tool-for-Risk-Factor-Analysis2 | application/plotlydash/dataDownload.py | dataDownload.py | py | 34,472 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",... |
71452829947 | import numpy as np
from functools import partial
#from multiprocessing import Pool
import matplotlib.pyplot as plt
from matplotlib import cm
from pandas import DataFrame
import scipy as sc
import scipy.signal
import os
import pdb
import time
def group_into_bands(fft, fft_freq, nfreq_bands):
if nfreq_bands == 178:
... | Anmol6/kaggle-seizure-competition | preprocess/pre_processing.py | pre_processing.py | py | 7,809 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.digitize",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.digitize",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"lin... |
34002077692 | # SWEA 5105 미로의 거리
from collections import deque
def bfs(x, y):
q = deque([(x, y)])
arr[x][y] = 0
dr = [-1, 1, 0, 0]
dc = [0, 0, -1, 1]
while q:
r, c = q.popleft()
for i in range(4):
nr = r + dr[i]
nc = c + dc[i]
if 0 <= nr < N and ... | jinmoonJ/algorithm | 0825/SWEA_5105.py | SWEA_5105.py | py | 1,147 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
}
] |
24696329244 | """
Author : Animesh Bhasin
Version : 1
Version Date : 16th Nov 2022
Description : This script is to read the data from City of New York API and load into postgres db
"""
import requests
import pandas as pd
from datetime import date, timedelta
from sqlalchemy import create_engine
import os
def main():
"""
Mai... | Sapphirine/202112-26-NYC-Vehicle-Crash-Analysis | get_crashes.py | get_crashes.py | py | 5,844 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "datetime.date"... |
21776740540 | import sys
import os
import click
import json
import re
import pandas as pd
import numpy as np
from PIL import ImageTk, Image
from tkinter import Tk
from .modules.interface import AnnotationInterface
@click.version_option("0.0.1")
@click.command()
@click.argument('image_dir', required=True)
@click.argument('bindings... | jacobhepkema/annotpics | annotpics/__main__.py | __main__.py | py | 3,726 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 65,
... |
21246199914 | import os
import pytest
import pandas as pd
from typing import List
from faker import Faker
from dataclasses import dataclass
from prepare_dataset import read_data, train_target
@dataclass()
class TrainingPipelineParams:
input_data_path: str
@pytest.fixture()
def dataset_path(tmpdir):
fake... | made-ml-in-prod-2021/alexshevchuk7 | ml_project/tests/test_prepare_data.py | test_prepare_data.py | py | 1,815 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "faker.Faker",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
... |
3361094578 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from functions import noso
from functions import dtdu_backward
from functions import dodt
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
dtype = torch.float
class fcn(nn.Module):
def __init__(self, task, ... | dooseokjeong/BPTC-NOSO | SNN_folded/network.py | network.py | py | 5,968 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.float",
... |
30451465881 | from calendar import c
from re import S
import sys
import time
import smbus
import spidev
import RPi.GPIO as GPIO
import logging
from ctypes import *
logger = logging.getLogger()
# logger.setLevel(logging.INFO) # Display all print information
logger.setLevel(logging.FATAL) # If you don’t want to display too many... | DFRobot/DFRobot_BME280 | python/raspberrypi/DFRobot_BME280.py | DFRobot_BME280.py | py | 22,063 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.FATAL",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.Fo... |
9202548056 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import time
import os
import h5py
import random
import numpy as np
from PIL import Image
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.utils.data import Dataset
from torchvision import models, transforms
from su... | SuperBruceJia/NLNet-IQA | Cross Database Evaluations/data_process/get_data.py | get_data.py | py | 6,026 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "lib.make_index.default_loader",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "h5py.File",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "h5py... |
45805692666 | from selenium import webdriver
import math
import time
import os
import eel
eel.init('web')
def getUrl(url, volume, chapter):
if url[-1] != '/':
url += '/'
return str(url) + 'v' + str(volume) + '/c' + str(chapter)
def startDriver(url, chapterNumbers, outputFolder='', outputName='output', firstChapt... | STmihan/RanobeLib-downloader | main.py | main.py | py | 3,255 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "eel.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.FirefoxOptions",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "eel.cons... |
22633446316 | import ply.lex as lex
# List of token names. This is always required
tokens = (
'PROP',
'TRUE',
'FALSE',
'NOT',
'AND',
'OR',
'IMPLY',
'X',
'U',
'F',
'G',
'R',
'LPAREN',
'RPAREN',
)
# Regular expression rules for simple tokens
t_PROP = r'[a-zA-Z_][a-z... | AriRodriguezCruz/mcfgpr | parser.py | parser.py | py | 1,058 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ply.lex.lex",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "ply.lex",
"line_number": 58,
"usage_type": "name"
}
] |
34294677016 | from django.contrib import admin
from django.urls import path
from final import views
urlpatterns = [
path("", views.index, name="root"),
path("about/", views.about, name="about"),
path("signup/", views.signup, name="signup"),
path("login/", views.loginUser, name="login"),
path("contact/", views.co... | supratim531/useless-django-app | final/urls.py | urls.py | py | 455 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "final.views.index",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "final.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
31357581621 | import os
from setuptools import setup, find_packages
from nats import __version__
this_dir = os.path.dirname(os.path.abspath(__file__))
with open(os.path.join(this_dir, 'requirements.txt')) as f:
requirements = f.read().splitlines()
setup(
name='nats-client',
version=__version__,
description='NATS cl... | nats-io/nats.py2 | setup.py | setup.py | py | 834 | python | en | code | 62 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
7377958665 | from flask import Flask,request,jsonify
import numpy as np
from scipy.signal import find_peaks
import pandas as pd
app = Flask(__name__)
@app.route('/data_process',methods=['GET'])
def data_process():
dict1={}
if '[' and ']' and "," in request.args['C1 raw']:
input_control=request.args['C1 raw'].str... | Owaiskhan9654/Pelican-API-for-data-Processing-Canary-Global | app.py | app.py | py | 2,388 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.request.args",... |
38903741775 | #SIEMPRE SIEMPRE SIEMPRE que abrimos un fichero lo tenemos que CERRAR después
#Si abrimos un fichero con with, python hace el close() por nosotros :))
fichero = 'nombres2.txt' #qué tengo que poner como fichero?
#qué pasa si no está en la misma carpeta?
import pickle
import csv
with open(fichero)... | rjvillen/clases-particulares-python | ficheros/ficheros_ejemplos_sol.py | ficheros_ejemplos_sol.py | py | 2,343 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "pickle.dump",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": ... |
74186588989 | """ Loading logic """
import sqlite3
import sys
from decimal import Decimal
from datetime import datetime
def load_data(database_uri: str, data: list) -> bool:
"""
Loads Bitcoin rate data into an SQLite database.
Args:
database_uri (str): The URI of the SQLite database.
data (list): The l... | richardogoma/bitcoin-rate-etl | etl/load/loader.py | loader.py | py | 2,943 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "decimal.Decimal",
"line_number": 37,
"usage_type": "argument"
},
{
"api_name": "datetime.datetime",
"line_number": 39,
"usage_type": "argument"
},
{
"api_name": "sqlite3.connect",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "sqlite3.Err... |
36345253262 | """
EECS 445 - Winter 2017 - Project 2
FER2013 - Skeleton
This file reads the dataset and provides a function `preprocessed_data`
that returns preprocessed images, labels
Usage: python -m data_scripts.fer2013
"""
import numpy as np
from scipy.misc import imresize
from sklearn.utils import resample
import pandas
from ... | lixhuang/EECS445p2 | data_scripts/fer2013.py | fer2013.py | py | 6,969 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": ... |
716717090 | from plenum.common.constants import SERVICES, VALIDATOR, TARGET_NYM, DATA
from sovrin_common.roles import Roles
from stp_core.network.port_dispenser import genHa
import pytest
from sovrin_client.test.cli.helper import doSendNodeCmd
def testSuspendNode(be, do, trusteeCli, newNodeAdded):
"""
Suspend a node an... | hyperledger-archives/indy-client | sovrin_client/test/cli/test_node_suspension.py | test_node_suspension.py | py | 2,820 | python | en | code | 18 | github-code | 6 | [
{
"api_name": "plenum.common.constants.SERVICES",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sovrin_client.test.cli.helper.doSendNodeCmd",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "plenum.common.constants.SERVICES",
"line_number": 22,
"usage... |
21215563455 | # -*- coding: utf-8 -*-
from django.db.models import Count, Case, When
from django.db.models.functions import TruncDate
from django.utils.translation import gettext as _
from django.utils.translation import get_language
import plotly.offline as plotly
import plotly.graph_objs as go
from core.utils import duration_par... | babybuddy/babybuddy | reports/graphs/diaperchange_intervals.py | diaperchange_intervals.py | py | 2,953 | python | en | code | 1,766 | github-code | 6 | [
{
"api_name": "plotly.graph_objs.Scatter",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext",
"line_number": 38,
"usage_type": "call"
},
{
"api_... |
8631506734 | #!/usr/bin/env python3
import argparse
import logging
import requests
import sys
from alert_autoconf.config import read_from_file
from json import JSONDecodeError
LOG_LEVEL = "DEBUG"
def parse_params() -> dict:
parser = argparse.ArgumentParser(add_help=True)
parser.add_argument(
"-u",
"--ur... | avito-tech/alert-autoconf | bin/validate.py | validate.py | py | 2,475 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "logging.getLevelName",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sys.... |
19238997232 | from collections import deque
N = int(input())
def bfs():
cnt = -1
q = deque()
for i in range(10):
q.append(i)
while q:
s = q.popleft()
cnt += 1
if cnt == N:
print(s)
break
for i in range(s%10):
q.append(s * 10 + i)
else:
... | sdh98429/dj2_alg_study | BAEKJOON/backtracking/b1038.py | b1038.py | py | 344 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
}
] |
21884520657 | """Use simple rate comparisions, try predicting event rates."""
import numpy as np
import matplotlib.pyplot as plt
from frbpoppy import Survey
from tests.convenience import plot_aa_style, rel_path
ALPHAS = np.around(np.linspace(-0.2, -2.5, 7), decimals=2)
SURVEYS = ('parkes-htru', 'arecibo-palfa', 'askap-fly', 'fast... | TRASAL/frbpoppy | tests/rates/alpha_analytical.py | alpha_analytical.py | py | 1,884 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "numpy.around",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "frbpoppy.Survey",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "frbpoppy.Survey",
"line... |
10790083831 | import html
import os
import re
import requests
class DirFile:
def __init__(self, shop_data_dict, img_list, path, shop):
self.shop_data_dict = shop_data_dict
self.img_list = img_list
self.path = path
self.shop = shop
def save_to_local(self):
try:
folder_nam... | kimbackdoo/Hareubang-Crawler | crawl/dir_file.py | dir_file.py | py | 1,955 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number... |
33781322730 | import copy
import datetime as dt
import decimal
import re
import pytest
import pytz
from google.cloud import bigquery
from google.cloud import bigquery_storage_v1beta1
from google.protobuf import timestamp_pb2
def _to_bq_table_ref(proto_table_ref, partition_suffix=""):
"""Converts protobuf table reference to b... | silverdev/google-cloud-python | bigquery_storage/tests/system/test_reader.py | test_reader.py | py | 15,016 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "google.cloud.bigquery.table.TableReference.from_api_repr",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "google.cloud.bigquery.table",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "google.cloud.bigquery",
"line_number": 27,
"usa... |
19692262120 | #Socratica Video 22 List Comprehension
#list comprehension [expression for variable in collection if test1 and test2]
#list comprehension [expression for variable1 in collection1 and variable2 in collection2]
squares = []
for i in range(1, 11):
squares.append(i**2)
print(squares) #print [1, 4, 9, 16, 25, 36, 49, 64,... | raymondmar61/pythonoutsidethebook | listcomprehension.py | listcomprehension.py | py | 10,585 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.pi",
"line_number": 104,
"usage_type": "argument"
},
{
"api_name": "itertools.repeat",
"line_number": 199,
"usage_type": "call"
}
] |
73268001788 | # Uncomment the next two lines to enable the admin:
from django.conf.urls import patterns, include, url
from productes import views
urlpatterns = patterns('',
url(r'^$', views.llistarProductes, name='llistarProductes'),
url(r'^llistarCategories/$', views.llistarCategories, name='llistarCategories'),
url(r'... | kimpa2007/restoGestio | tpv/productes/urls.py | urls.py | py | 938 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "productes.views.llistarProductes",
"line_number": 6,
"usage_type": "attribute"
},
{
... |
37950158304 | import copy
import matplotlib.pyplot as plt
from numpy import sqrt, inf
from sklearn.model_selection import train_test_split
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.optim as optim
from models.cnn import CNN
from linegeneration.generate_lines import create_image_set
from utils.logger impor... | 3it-inpaqt/line-classification-slope | models/run_cnn.py | run_cnn.py | py | 6,433 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
... |
21098037404 | # -*- coding: utf-8 -*-
from flask import Blueprint, g, request, redirect, url_for, current_app
import os
from invenio.ext.template.context_processor import \
register_template_context_processor, template_args
from invenio.base.decorators import templated
from invenio.modules.formatter import format_record
from... | cjhak/b2share | invenio/b2share/modules/main/views.py | views.py | py | 2,867 | python | en | code | null | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.request.values.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask.request.values",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "fl... |
39956836499 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 19 14:11:57 2022
@author: Saskia Hustinx
"""
import re
import gpt_2_simple as gpt2
import tensorflow as tf
import json
import tweepy
import random
import time
### NLP SECTION ###
def words_in_string(word_list, a_string):
return set(word_list).intersection(a_string.s... | sHustinx/nlp-fortune-cookie-bot | respond-dms.py | respond-dms.py | py | 2,664 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gpt_2_simple.generate",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
... |
33626981361 | from flask import Flask, request
import requests
import tkinter as tk
from tkinter import simpledialog
import pdfrw
import json
from flask_cors import CORS
import io
import base64
app = Flask(__name__)
CORS(app)
@app.route("/")
def hello_world():
ROOT = tk.Tk()
ROOT.withdraw()
# the input dialog
# USE... | MHSiles/yoloco-be | other/main-2.py | main-2.py | py | 4,824 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"... |
5592159173 | from .http import *
from .abc import User, Channel
from .channels import DMChannel
import asyncio as aio
class Client:
"""
Base class for interacting with discord
"""
def __init__(self, token: str):
self.http = HTTPClient(token)
self.event_loop = aio.new_event_loop()
aio.set_... | ledanne/descapede | diswrap/client.py | client.py | py | 2,060 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "asyncio.new_event_loop",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "asyncio.set_event_loop",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "abc.User",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "abc.User",
... |
28156207354 | import torch
from projects.thre3ingan.singans.networks import Thre3dGenerator
from torch.backends import cudnn
cudnn.benchmark = True
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def test_thre3d_generator() -> None:
batch_size = 1
random_input = torch.randn(batch_size, 128, 64, 64,... | akanimax/3inGAN | projects/thre3ingan/singans/tests/test_networks.py | test_networks.py | py | 491 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "torch.backends.cudnn.benchmark",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.backends.cudnn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "to... |
39400883437 | import boto3
import pickle
from typing import Any, Tuple
import logging
from re import sub
import pandas as pd
import numpy as np
from sklearn.metrics import average_precision_score
from sklearn.model_selection import StratifiedShuffleSplit
import xgboost as xgb
# ----- Class for uploading and downloading Python ob... | YangWu1227/python-for-machine-learning | tree_based/projects/telco_churn_sagemaker/src/custom_utils.py | custom_utils.py | py | 4,461 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "typing.Any",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "pickle.dumps",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pickle.loads",
"line_number"... |
27259802510 | """We are the captains of our ships, and we stay 'till the end. We see our stories through.
"""
"""513. Find Bottom Left Tree Value [Two Passes]
"""
from collections import deque
class TreeNode:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class Solution:
... | asperaa/back_to_grind | Trees/bottom_left_tree.py | bottom_left_tree.py | py | 890 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 25,
"usage_type": "call"
}
] |
2018426878 | import unittest
import sys
import os
import tempfile
import shutil
from appliapps.flow.branch import Branch
from appliapps.flow.collate import Collate
from appliapps.flow.merge import Merge
from appliapps.flow.split import Split
class Test(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.tdi... | lcb/applicake | tests/test_flow.py | test_flow.py | py | 1,454 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line... |
32108920209 | import json
from typing import List
import mlflow
import pandas
from pandas import DataFrame
class SpambugInference(mlflow.pyfunc.PythonModel):
"""
Inference code copied from MLFlow bugs.py
"""
def __init__(self, extraction_pipeline, clf, le):
self.extraction_pipeline = extraction_pipeline
... | mozilla/mlops-platform-spike-library | bugbug/mlflow/bugbug/trackers/spambug_inference.py | spambug_inference.py | py | 1,839 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mlflow.pyfunc",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 23,
"usage_type": "call"
}
] |
75246891067 | import collections
import copy
import numpy as np
import mindspore as ms
from mindspore import nn, ops
from mindspore import Tensor, Parameter
from mindspore.nn.layer.normalization import _BatchNorm
from mindspore.nn.probability.distribution import Normal
from mindspore_gl import Graph
from mindspore_gl import GNNCe... | shuoliu0-0/EDIS | model.py | model.py | py | 21,685 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "mindspore.ops.nonzero",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "mindspore.ops",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "mindspore.ops.nonzero",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "mindspore.o... |
6153769301 | from django.shortcuts import render
from . models import Department, Employee, User, Phone, Book, Store
from django.http import HttpResponse
# Create your views here.
def index(request):
# without relationship:
user = User.objects.get(pk=1)
phone = Phone.objects.get(user_id=user)
#... | oruchkin/biteofpithon | django relationships/relation/core/views.py | views.py | py | 3,072 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.User.objects.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.User.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.User",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.P... |
28114724866 | import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']
# 数据
sizes = ["0.5x0.5", "2x2", "5x5", "7x7"]
postgres = [2, 10, 94, 153]
accumulo = [8, 15, 22, 41]
# 绘图
plt.plot(sizes, postgres, label="PostgreSQL")
plt.plot(sizes, accumulo, label="Accumulo")
plt.xlabel("Extent(km²)")
plt.ylabe... | KiktMa/gdal_tiff | shange/paintsd.py | paintsd.py | py | 386 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name":... |
31127201950 | # to run, execute this command in the command line:
# python create_plots.py pagecounts-20160802-150000.txt pagecounts-20160803-150000.txt
import sys
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
filename1 = sys.argv[1]
filename2 = sys.argv[2]
data1 = pd.read_table(filename1, sep=' ',... | tomliangg/Plotting_Wikipedia_Page_Views | create_plots.py | create_plots.py | py | 1,324 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_table",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"... |
70111562109 | import requests
def run():
api_key = 'f258ca5a16d84339a5f6cdb4c7700756'
query_map = {}
url = 'http://api.weatherbit.io/v2.0/current'
query_map['lat'] = 39.757
query_map['lon'] = -75.742
query_map['key'] = api_key
query_map['lang'] = 'en'
response = requests.get(url,params=query_map).js... | cthacker-udel/Raspberry-Pi-Scripts | py/getcurrweather.py | getcurrweather.py | py | 441 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
}
] |
3981685761 | from django.test import TestCase
from django import forms
from parameterized import parameterized
from MDM.forms import ItemGroupForm
from MDM.bootstrap import INPUT
class ItemGroupFormTest(TestCase):
@parameterized.expand([
('description', 'Descrição do Grupo de Item'),
])
def test_form_labels(... | tiagomend/flow_erp | MDM/tests/test_item_group_form.py | test_item_group_form.py | py | 1,264 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "MDM.forms.ItemGroupForm",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "parameterized.parameterized.expand",
"line_number": 11,
"usage_type": "call"
},
{
"ap... |
25390435322 | import logging
import requests
import pandas as pd
import time
from .sqlite import Orders
from .sqlite import Balances
class BitMex():
def pull_bitmex_orderbooks(symbol, limit, mode='live'):
# Tracking execution time
start_ts = time.time() * 1000
# Get request
request = requests.get('https://www.b... | noqcks/bmex-algo | src/bitmex.py | bitmex.py | py | 8,025 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number"... |
776580237 | from pprint import pprint
import requests
import json
# Задание 1 Посмотреть документацию к API GitHub, разобраться как вывести список репозиториев для конкретного пользователя,
# сохранить JSON-вывод в файле *.json.
url = 'https://api.github.com/users/Karamba278/repos' #Сразу вставил имя юзера (себя) в ссылку, но мо... | Karamba278/parsing | DZ1/lesson1.py | lesson1.py | py | 1,643 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number":... |
42433734628 | import pytest
import random
from torchrl.envs import make_gym_env, TransitionMonitor
@pytest.mark.parametrize('spec_id', [
'Acrobot-v1',
'CartPole-v1',
'MountainCar-v0',
'MountainCarContinuous-v0',
'Pendulum-v0',
])
def test_transition_monitor(spec_id: str):
env = TransitionMonitor(make_gym_env... | activatedgeek/torchrl | torchrl/envs/test_wrappers.py | test_wrappers.py | py | 968 | python | en | code | 110 | github-code | 6 | [
{
"api_name": "torchrl.envs.TransitionMonitor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torchrl.envs.make_gym_env",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 29,
"usage_type": "call"
},
{
"api_name":... |
8516167540 | import numpy as np
import matplotlib.pyplot as plt
import h5py
path_Lf3D = "/mn/stornext/d19/RoCS/alma/emissa_sim/linfor3D/outhdf/"
f = {"500nm" : h5py.File(path_Lf3D + "d3t57g44c_v000G_n019_it000_05000_mu1_00_linfor_3D_2.hdf", "r"),
"1mm" : h5py.File(path_Lf3D + "d3t57g44c_v000G_n019_it000_01mm_mu1_00_linfor_... | jonasrth/MSc-plots | mean_CF.py | mean_CF.py | py | 1,183 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "h5py.File",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 11,
"us... |
43970042116 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
AUTHOR
Pedro Cerqueira
github: @pedrorvc
DESCRIPTION
This script serves to create xml files contaning the information necessary
for the execution of BRIG (Blast Ring Image Generator), reducing the time
performing the tedious task of setting u... | TAMU-CPT/galaxy-tools | tools/genome_viz/brigaid.py | brigaid.py | py | 36,126 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_numbe... |
71783932668 | from setuptools import setup, find_packages
def readme():
with open('README.rst', encoding='utf-8') as f:
content = f.read()
return content
def get_version():
with open('VERSION', encoding='utf-8') as f:
version = f.read()
return version
setup(
name='thonny-quecpython',
ver... | wcache/thonny_quecpython | setup.py | setup.py | py | 1,267 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 34,
"usage_type": "call"
}
] |
34398796086 | from typing import List
import docx
from .IngestorInterface import IngestorInterface
from .QuoteModel import QuoteModel
class DocxIngestor(IngestorInterface):
allowed_extensions = ['docx']
@classmethod
def parse(cls, path: str) -> List[QuoteModel]:
if not cls.can_ingest(path):
raise ... | KosziDrimi/Meme-Generator-project | QuoteEngine/DocxIngestor.py | DocxIngestor.py | py | 800 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "IngestorInterface.IngestorInterface",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "docx.Document",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "QuoteModel.QuoteModel",
"line_number": 25,
"usage_type": "call"
},
{
"api_name":... |
38137944576 | import dash
from dash import html, dcc
from dash.dependencies import Input, Output
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import pandas as pd
# Load data
df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
# Create subplots
fig = make... | TIIIIIIW/SOFTWARE-DEVELOPMENT-2 | ML/Data/TestDash.py | TestDash.py | py | 2,975 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "plotly.subplots.make_subplots",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs.Candlestick",
"line_number": 15,
"usage_type": "call"
},
{
"api_na... |
42242066819 | from random import Random
from torch.utils.data import DataLoader
from torchvision import transforms, datasets
class Partition:
def __init__(self, data, index):
self.data = data
self.index = index
def __len__(self):
return len(self.index)
def __getitem__(self, idx):
data_... | DragonChen-TW/torch_DDP | data_partition.py | data_partition.py | py | 1,832 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "random.Random",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "t... |
12138793296 | from dataclasses import fields
from pyexpat import model
import django
from django import forms
from django.db.models import fields
from django.contrib.auth.forms import UserCreationForm,AuthenticationForm
from django.forms import ModelForm
from .models import *
class CustomUserCreationForm(UserCreationForm):
clas... | baadhira/shopify-ecommerce | adminapp/forms.py | forms.py | py | 4,635 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pyexpat.model",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.db.models.fields",
"line_number": 13,
"usage_type": "name"
},
{
"... |
27615702847 | """
Get 10 titles of the most popular movies/series etc. by each genre.
Получите 10 наименований самых популярных фильмов/сериалов и т. д. в каждом жанре.
title.basics.tsv.gz title.ratings.tsv.gz
"""
from pyspark import SparkConf
from pyspark.sql import SparkSession
import pyspark.sql.types as t
import pyspark.sql.func... | Tetyana83/spark | task8.py | task8.py | py | 2,591 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.master",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 12,
"usage_type":... |
36551632681 | import matplotlib.pyplot as plt
from DataHandler import DataHandler
from LinearClassifier import LinearClassifier
if __name__ == '__main__':
#generating a normal distributed data (1000 samples per class)
data_handler = DataHandler()
class0Dataset = data_handler.get2DGaussian(1000, [-2, -2])
cla... | Mustapha-Belkacim/Linear-classifier | main.py | main.py | py | 1,623 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "DataHandler.DataHandler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "LinearClassifier.LinearClassifier",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 28,
"usage_type": "call"
},
{
"a... |
12091024325 | from typing import List, Iterator
import torch
from torch.utils.data.sampler import Sampler
from nltk import Tree
from nltk.tokenize.treebank import TreebankWordTokenizer
class TokenizedLengthSampler(Sampler[List[int]]):
"""
PyTorch DataLoader - compatible sampler class that batchify sentences with the most ... | jinulee-v/bert_diora | bert_diora/utils.py | utils.py | py | 1,470 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.sampler.Sampler",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "nltk.tokenize.... |
75137098747 | from django.contrib.auth.backends import ModelBackend
from django.contrib.auth.models import Permission
from .models import Organization, OrganizationUser
class OrganizationBackend(ModelBackend):
supports_object_permissions = True
def authenticate(self, organization=None, username=None, password=None):
... | avidal/django-organizations | organizations/backends.py | backends.py | py | 6,718 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.contrib.auth.backends.ModelBackend",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Organization.objects.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Organization.objects",
"line_number": 17,
"usage_type": "... |
70384349309 | import numpy as np
import scipy
import cv2
import matplotlib.pyplot as plt
from matplotlib.colors import LightSource
def rotate_and_crop(arr, ang):
"""Array arr to be rotated by ang degrees and cropped afterwards"""
arr_rot = scipy.ndimage.rotate(arr, ang, reshape=True, order=0)
shift_up = np.ceil(np.arcs... | openearth/vcl | vcl/data.py | data.py | py | 6,478 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "scipy.ndimage.rotate",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.ceil",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.arcsin",
"... |
29476131174 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""Fine tune CTC network (CSJ corpus, for dialog)."""
import os
import sys
import time
import tensorflow as tf
from setproctitle import setproctitle
import yaml
import shutil
import tensorflow.contrib.slim as slim
sys.path.append('../')
sys.path.append('../../')
sys.pat... | hirofumi0810/tensorflow_end2end_speech_recognition | examples/csj/fine_tuning/finetune_ctc_dialog.py | finetune_ctc_dialog.py | py | 20,860 | python | en | code | 312 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
43133597312 | # This script is developed by Team 11 CIS 3760
# Parser - to parse the plain text file into json file
import sys
import re
import json
import os
sys.path.insert(1, os.path.join(sys.path[0], '..'))
import course_util
uOCourseCodeIsolatedPat = re.compile(r'^\w{3}[ ]?\d{4}$')
uOCourseCodePat = re.compile(r'... | jessendasilva1/UniveristySearch | graphing/util/parser/ottawaCourseParser.py | ottawaCourseParser.py | py | 11,463 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
41211802240 | #import cv2
from keras.applications.vgg16 import VGG16
from keras.preprocessing import image
from keras.applications.vgg16 import preprocess_input, decode_predictions
import numpy as np
import os
import sys
import json
from PIL import Image
# import Image
import requests
from io import BytesIO
import urllib3
import h5p... | ming19956/PFE | information-retrival-search-engine/informationRetrival/vgg16_p/newvgg.py | newvgg.py | py | 9,112 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "n... |
12028632350 | import tkinter
from tkinter import messagebox
from src.game.minesweeper import Minesweeper
from src.game.minesweeper import CellStatus
from src.game.minesweeper import GameStatus
from datetime import datetime
import platform
class MineweeperUI:
def __init__(self, root):
self.ui_window = root
self.ui_window.t... | PriscillaRoy/MinesweeperGame | src/gui/minesweeper_ui.py | minesweeper_ui.py | py | 3,636 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "src.game.minesweeper.Minesweeper",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name... |
22837983090 | import pandas as pd
import networkx as nx
# def splitDataFrameList(df,target_column,separator):
# ''' df = dataframe to split,
# target_column = the column containing the values to split
# separator = the symbol used to perform the split
# returns: a dataframe with each entry for the target column separated, with... | brooksjaredc/podcast_network_analysis | analyzing_functions/set_node_attr.py | set_node_attr.py | py | 2,988 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "networkx.from_pandas_dataframe",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "networkx.DiGraph",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "netwo... |
35226848142 | import torch
import torch.nn.functional
from .calculate_ssim import ssim
from .utils import fspecial_gauss
def ms_ssim(image1: torch.Tensor, image2: torch.Tensor, filter_weight: torch.Tensor) -> float:
""" Multi scale structural similarity
Args:
image1 (np.array): Original tensor picture.
im... | avacaondata/SpainAI_Hackaton_ComputerVision | ESRGAN-PyTorch/esrgan_pytorch/utils/image_quality_assessment/calculate_mssim.py | calculate_mssim.py | py | 1,882 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.Tensor",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "calculate_ssim.ssim",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "calculate_ssim... |
74077927228 | from PyQt5.QtCore import QFile, QTextStream, QIODevice
class StyleLoader:
def __init__(self, variables_path: str = None):
self._variables = {}
self._stylesheets = {}
self._init_variables(variables_path)
def get_merged_stylesheets(self, names: list):
return self._merge_stylesh... | lennertsoffers/KeyCursor | key_cursor_config/model/StyleLoader.py | StyleLoader.py | py | 1,926 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "PyQt5.QtCore.QFile",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QIODevice.ReadOnly",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.QIODevice",
"line_number": 32,
"usage_type": "name"
},
{
"ap... |
22781339759 | import IMP
import IMP.pmi
import IMP.pmi.macros
import RMF
import matplotlib.pyplot as plt
import seaborn as sns
import sys
import numpy as np
import argparse
#########
# PARSER
#########
p = argparse.ArgumentParser(
description="Align selected RMF files. \n"
"Example of usage: alig... | Altairch95/ExocystDYN | scripts/align_rmf.py | align_rmf.py | py | 5,528 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "IMP.atom.Selection",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "IMP.atom",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange... |
32562155548 | from django.conf.urls.defaults import *
from django.conf import settings
from gallery.feeds import Photos, Videos, Tags, TagContents, Comments
try:
import django_openidconsumer
except ImportError:
django_openidconsumer = None
feeds = {
'comments': Comments,
'photos': Photos,
'videos': Videos,
... | ginking/Gallery-1 | urls.py | urls.py | py | 2,422 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gallery.feeds.Comments",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "gallery.feeds.Photos",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "gallery.feeds.Videos",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "gall... |
32463868402 | import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch
import torchvision
import torchvision.transforms as transforms
class DataLoader:
def __init__(self, batch_size = 4):
'''
num_workers should be 0... | jindeok/XAI_torch_captum | XAI_torch/utils.py | utils.py | py | 2,051 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.utils",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name... |
8915382368 | from datetime import datetime
from astral import Astral
from pyHS100 import Discover, SmartPlug, SmartBulb
import time, socket, requests, pytz, simplejson
#Used to determine daylight status, occupancy status, and does the things
#if the things are needed based on prior info
class SmartSwitchControl():
a = Astr... | bradyjibanez/Voyager | occupantInference/smartSwitchControl.py | smartSwitchControl.py | py | 2,417 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "astral.Astral",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pytz.utc",
"... |
11735575748 | """Add File table
Revision ID: 3822d04489a0
Revises:
Create Date: 2021-06-26 16:18:52.167545
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3822d04489a0'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gen... | retroherna/rhinventory | alembic/versions/3822d04489a0_add_file_table.py | 3822d04489a0_add_file_table.py | py | 1,531 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
16106180145 | #!/usr/bin/env python3
if __name__ == "__main__":
import argparse
import os
import benj
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--input", dest="h5ad", required=True)
ap.add_argument("-o", "--output", required=True)
ap.add_argument("--labels", requir... | KellisLab/benj | scripts/integrate_and_train.py | integrate_and_train.py | py | 1,676 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "benj.parse_args",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "benj.stopwatch",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "benj.parse_annd... |
24604094520 | # Packages
import time
import selenium
from selenium import webdriver
import NameExtractor
app_names = []
element_web = []
k = 0
count = 1
def decompiler(path, file_path):
global app_names, driver
driver = webdriver.Chrome(path)
driver.maximize_window()
app_names = NameExtractor.n... | Neilnarnaware/Privacy-Detection-of-Android-Application | Decompiler.py | Decompiler.py | py | 2,296 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "NameExtractor.name_extractor",
"line_number": 19,
"usage_type": "call"
},
{
"api_nam... |
32509221733 | import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as sc
import csv
def myAnova(Matrice, pvalue_crit):
# Initialisation :
H = 0
F = 0
var_intra = 0
var_inter = 0
obs_moy = 0
eff_tot = 0
# Moyenne des classes :
for i in range(len(Matrice)):
obs_moy = sum(Ma... | Varelafv/TD6.py | TD2-EXO2.py | TD2-EXO2.py | py | 5,319 | python | fr | code | 0 | github-code | 6 | [
{
"api_name": "numpy.mean",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "scipy.stats.f.cdf",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "scipy.stats.f",
"line_num... |
45254772596 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 20 23 20:40:00
@author: kirsh012
"""
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import seaborn as sns
import joblib
from sklearn.model_selection import PredefinedSplit, GridSearchCV
from sklearn.ensemble import RandomFo... | tk27182/masters-thesis | Code/run_test_randomforest.py | run_test_randomforest.py | py | 3,799 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dataprocessing.load_data_nn",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "nn_models.split_data_cv_indx",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.full",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "n... |
25145519000 | from dataclasses import dataclass
from typing import Any
from msg.serializers import BaseExpenseCreationSerializer, BaseExpensePropertySerializer
@dataclass
class ExpenseCreationHelper:
data: dict
def __call__(self, *args: Any, **kwds: Any) -> Any:
if not self._parse_data():
return
... | enamsaraev/tg_api | msg/helpers.py | helpers.py | py | 1,000 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Any",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "msg.serializers.BaseExpenseCreationSerializer",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "msg.serializers.BaseExpensePropertySerializer",
"line_number": 30,
"usage_type":... |
5589205557 | import re
import plac
import ujson as json
from utils import load_jsonl_file, dumps_jsonl
regex_ws = re.compile(r'\s+')
def load_corpus(path):
documents = json.load(open(path, 'r'))
return documents
def hydrate(parses, relation):
doc = parses.get(relation['DocID'])
text = doc.get('text', '') if d... | rknaebel/bbc-discourse | hydrate.py | hydrate.py | py | 1,089 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ujson.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.load_jsonl_file",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "utils.dumps_jsonl",
"l... |
38081298604 | import asyncio
import threading
from sqlalchemy.orm import Query
from ConsumerService.consumer.persistence import db
from ConsumerService.consumer.business import manage_event_data
from aio_pika import connect, ExchangeType
from flask import Flask, request, jsonify, Response
app = Flask(__name__)
@app.route('/getPa... | oran1980/clewMedical | application-assignment/ConsumerService/consumer/main.py | main.py | py | 3,890 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask.request.args"... |
2721867306 | """
api.py
~~~~~~
This file define simple REST APi for a Machine Learning Model
"""
from os import environ as env
from joblib import load
from flask import abort, Flask, jsonify, make_response, request
from pandas import DataFrame
service_name = env['SERVICE_NAME']
version = env['API_VERSION']
model = load('data/m... | repodevs/flask-machine-learning-service | api.py | api.py | py | 846 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "joblib.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 18... |
5145788640 | import enum
from ocrdgen.font.font import FontManager
from ocrdgen.image.background import BgManager
from pathlib import Path
import numpy as np
from PIL import ImageDraw, Image
from ocrdgen.ops import boxes_ops
import cv2 as cv
from collections import OrderedDict
from .base import BaseDrawer
from ocrdgen import model... | nunenuh/ocrdgen | ocrdgen/drawer/word.py | word.py | py | 3,432 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base.BaseDrawer",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PIL.Image",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"lin... |
73831952826 | from odoo import api, models, fields, _
from odoo.exceptions import UserError
import logging
_logger = logging.getLogger(__name__)
class LgpsPartner(models.Model):
_inherit = 'res.partner'
client_type = fields.Selection(
[
('new', _('New')),
('aftersales', _('After Sales')),
... | intralix/odoo-addons | lgps/models/custom_partner.py | custom_partner.py | py | 2,580 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Selecti... |
13842222350 | import cv2
import numpy as np
import math
from numpy import random as nr
import sys
def lines(code=None, step=12):
l = np.zeros((h, w, 3), np.uint8)
l[:] = 255
if code == 0: # - horizontal
for i in range(0, h, step):
l = cv2.line(l, (0, i), (w, i), black)
elif code == 1: # | hor... | ZZ76/filters | crosshatching.py | crosshatching.py | py | 3,968 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.line",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.line",
"line_number": 17,... |
26822225482 | import hashlib
import base64
import os
import sys
from Crypto.Cipher import AES
from hashlib import md5
from PyQt4 import QtGui, QtCore
import collections
from eclib import EC
from eclib import DiffieHellman
class MainWindow(QtGui.QWidget):
def __init__(self):
QtGui.QWidget.__init__(self)
global ... | iCHAIT/Elliptical-Curve-Cryptography | gui.py | gui.py | py | 6,704 | python | en | code | 24 | github-code | 6 | [
{
"api_name": "PyQt4.QtGui.QWidget",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtGui.QWidget.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQ... |
30984123610 | """ apps/docs/urls.py """
from django.urls import path
from . import views
app_name = 'docs'
urlpatterns = [
path('', views.index, name='index'),
path('overview/', views.overview, name='overview'),
path('what_is_an_ordo/', views.what_is_an_ordo, name='what_is_an_ordo'),
path('create_an_account/', vie... | BrRoman/ordomatic | ordomatic/apps/docs/urls.py | urls.py | py | 709 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
42579723690 | import os
import git
import datetime
import argparse
class was_it_rufus:
"""
A class that instantiates all variables and methods about git status.
...
Methods
-------
Prints the git status
"""
def __init__(self, git_directory):
"""
Constructs all the necessary att... | srirammura/was_it_rufus | main.py | main.py | py | 2,076 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "git.Repo",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "datetime.timede... |
5001531967 | from datetime import datetime
from django import template
from tag.models import Tag
register = template.Library()
@register.inclusion_tag('toptags.html')
def toptags():
tags=Tag.objects.all().order_by('-followers_count')[:5]
args={}
args['tags']=tags
return args
@register.inclusion_tag('trendingtags.... | duonghau/hoidap | tag/templatetags/tag_template.py | tag_template.py | py | 745 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.template.Library",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "tag.models.Tag.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tag.m... |
1059675909 | """
This module defines the interface for the Server.
.. autoclass:: Server
:members:
:undoc-members:
:show-inheritance:
"""
import atexit
import base64
import logging
import os
import threading
from functools import partial, wraps
import pluginbase
import tornado.httpserver
import tornado.web
from flask im... | OPSORO/OS | src/opsoro/server/__init__.py | __init__.py | py | 7,251 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "functools.partial",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
... |
41728763711 | import os
import datetime
import time
# requires import of opencv through pip
# pip install opencv-python
import cv2
# requires import of PIL pillow through pip
# python -m pip install pillow
from PIL import Image, ImageTk
import sys
import tkinter
def my_VidFunction(vid_name):
cap = cv2.VideoCapture(vid_name)
#c... | icommonscrc/Looney-Toon | OpenVideoAtTimeV8.py | OpenVideoAtTimeV8.py | py | 2,716 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.WINDOW_KEEPRATIO",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "cv2.setWin... |
35023516423 | import cv2
import time
from base_camera import BaseCamera
from Process import Process
global sess
class Camera(BaseCamera):
video_source = 0
process = Process()
@staticmethod
def set_video_source(source):
Camera.video_source = source
# @staticmethod
def frames(self):
camera =... | Micbetter/ISense-flow | camera_opencv.py | camera_opencv.py | py | 3,981 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base_camera.BaseCamera",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "Process.Process",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_F... |
8665817734 | import os
import boto3
from elasticsearch import Elasticsearch
from unittest import TestCase
from me_articles_drafts_delete import MeArticlesDraftsDelete
from tests_util import TestsUtil
class TestMeArticlesDraftsDelete(TestCase):
dynamodb = boto3.resource('dynamodb', endpoint_url='http://localhost:4569/')
el... | AlisProject/serverless-application | tests/handlers/me/articles/drafts/delete/test_me_articles_drafts_delete.py | test_me_articles_drafts_delete.py | py | 4,930 | python | en | code | 54 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "boto3.resource",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tests_uti... |
23225332326 | import copy
import six
from lxml import etree
from ems.exceptions import SchemaException
from ems.exceptions import ValidationException
from ems.exceptions import XMLException
from ems.schema import fields
def parse_meta(name, bases, dct):
"""
Parse the _META_ attribute from a schema definition.
"""
... | ceramyq/python-ems | ems/schema/base.py | base.py | py | 7,670 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "six.iteritems",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "ems.exceptions.SchemaException",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "six.iteritems",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "ems.except... |
40106131495 | from .auto import Auto
import gettext
def russian(text):
text = text.replace("usage:",
"использование:")
text = text.replace("show this help message and exit",
"показывает это сообщение и выходит")
text = text.replace("error:",
"ошибк... | Papr1ka/config | practice4/auto/cli.py | cli.py | py | 1,875 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "gettext.gettext",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "gettext.bindtextdomain",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "gettext.textdomain",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "auto.A... |
21529376169 | from .base_view import ClassView
def get_model_value(instance, field):
try:
value = getattr(instance, field)
except Exception:
if field.find('__') > 0:
fields = field.split('__')
elif field.find('.') > 0:
fields = field.split('.')
else:
raise... | sajithak52/store-django-app | myproject/base_class/views/list_view.py | list_view.py | py | 3,646 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base_view.ClassView",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "base_view.ClassView.__init__",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "base_view.ClassView",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "... |
31333928448 | #!/usr/bin/env python3
import atexit
import copy
import datetime
import json
import os
import re
import sys
import threading
import botocore
from flask import Flask
from prometheus_client import make_wsgi_app, Gauge
from pyemvue import PyEmVue
from pyemvue.enums import Scale, Unit
from werkzeug.middleware.dispatcher ... | thebaron/vueprom | src/vueprom.py | vueprom.py | py | 5,230 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "threading.Thread",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "prometheus_client.Gauge",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "dat... |
23932718939 | import os
import numpy as np
import pandas as pd
from variables import csv_path, label_encode, file_name, cutoff
from sklearn.utils import shuffle
def preprocess_data(csv_path):
df = pd.read_csv(csv_path)
df = df.copy()
df.dropna(axis=0, how='any', inplace=False)
df['label'] = df.apply(y2indicator, axi... | 1zuu/Pytroch-Examples | IrishClassifier/util.py | util.py | py | 1,061 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "variables.csv_path",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "variables.... |
32055141770 | import sqlite3
connection = sqlite3.connect('data.db')
cursor = connection.cursor()
def initiate_db():
cursor.execute('CREATE TABLE IF NOT EXISTS books(name text primary key, author text, year integer, read integer)')
connection.commit()
def add_db(book, author, year):
try:
cursor.execute("... | minnalisa/book_shelf | database2.py | database2.py | py | 1,624 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sqlite3.IntegrityError",
"line_number": 16,
"usage_type": "attribute"
}
] |
9434937105 | import random
import datetime
import urllib
from optparse import make_option
from django.core.management.base import BaseCommand
from django.core.files.storage import default_storage
from django.core.files.base import File
try:
from django.contrib.auth import get_user_model
User = get_user_model()
except Impor... | fusionbox/django-fusionbox-blog | fusionbox/blog/management/commands/seed_blogs.py | seed_blogs.py | py | 3,513 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "urllib.urlretrieve",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "u... |
15420800470 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
import urllib.request
# 132 명의 남자 연예인들
man_list = [
'장근석',
'유아인',
'유동근',
'이서진',
'송일국',
'최재성',
'장혁',
'김민종',
'지창욱',
'주진모',
'안성기',
'이순재',
'신영균',
'이정재',
... | myoons/CycleGAN-Gender-Changer | data_utils/Korean_Crawling/man_crawling.py | man_crawling.py | py | 4,090 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 144,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 144,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.RETURN",
"line_number": 152,
"usage_type": "attribute"... |
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